Apache Kafka - Real-time Stream Processing (Master Class) - Creating Streams Topology

What is the first step in creating a Kafka Streams application?

• Instantiating a Kafka streams object

• Adding a shutdown hook

• Defining application configuration

• Creating a source processor

What does a processor topology define in a Kafka Streams application?

• The database schema

• The network configuration

• The user interface layout

• The step-by-step computational logic

How can you represent the steps in a processor topology?

• Using a flowchart

• Using a UML diagram

• Using a DAG (Directed Acyclic Graph)

• Using a pie chart

Which KStream transformation method is used to filter records?

• map

• flatMap

• forEach

• filter

What is the outcome of a filter operation on a KStream?

• A boolean value

• A void

• A list of integers

• A new KStream

What is the primary objective of the POS simulator application example?

• To explore Kafka's security features

• To demonstrate Kafka Streams' UI capabilities

• To understand the creation of a processor topology

• To learn about Kafka's storage options

What is the first requirement for the Kafka Streams application in the POS example?

• Select invoices with store pickup

• Select invoices with international shipping

• Select invoices with express delivery

• Select invoices with home delivery

Which processor is used to transform an invoice event into a notification event?

• forEach

• filter

• flatMap

• mapValues

What is the purpose of using a flatMapValues processor in the DAG?

• To filter records

• To sort records

• To split one record into multiple records

• To combine multiple records into one

What is the final step in the DAG creation for the business requirements?

• Sending records to a shipment service

• Persisting records to Hadoop storage

• Filtering invoices by customer type

• Creating a notification event